code: def init_meshes(
      num_meshes: int = 10, num_verts: int = 1000, num_faces: int = 3000
  ) -> Meshes:
      device = torch.device("cuda:0")
      verts_list = []
      faces_list = []
      for _ in range(num_meshes):
          verts = (
              torch.rand(
                  (num_verts, 3), dtype=torch.float32, device=device
              )
              * 2.0
              - 1.0
          )  # verts in the space of [-1, 1]
          faces = torch.randint(
              num_verts,
              size=(num_faces, 3),
              dtype=torch.int64,
              device=device,
          )
          verts_list.append(verts)
          faces_list.append(faces)
      meshes = Meshes(verts_list, faces_list)
  
      return meshes
  
file_path: pytorch3d/tests/test_vert_align.py
imports: import unittest
  import torch
  import torch.nn.functional
  from pytorch3d.ops.vert_align import vert_align
  from pytorch3d.structures.meshes import Meshes
  from pytorch3d.structures.pointclouds import Pointclouds
  from .common_testing import TestCaseMixin
label_desc: Use image node_id 2 for calling the TestVertAlign obj's underlying member method code with example usage: obj.init_meshes(num_meshes, num_verts, num_faces) and returns: meshes